{"id":"W2339848400","doi":"10.1002/ieam.1785","title":"Assessment of hazard metrics for predicting field benthic invertebrate toxicity in the Detroit River, Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks; University of Windsor; University of Saskatchewan; Saskatchewan Polytechnic","funders":"","keywords":"Benthic zone; Sediment; Silt; Habitat; Environmental science; Abundance (ecology); Hydrology (agriculture); Water quality; Ecology; Environmental chemistry; Geology; Biology; Geotechnical engineering; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007293049,0.0003109348,0.0003273061,0.0001014893,0.0002300969,0.00002303979,0.0004456016,0.0001388368,0.002023955],"category_scores_gemma":[0.00001313478,0.0002040887,0.00008099763,0.000217363,0.0003437981,0.0002223018,0.0004248993,0.0002681951,0.0000060767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002407233,"about_ca_system_score_gemma":0.00005038798,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08958202,"about_ca_topic_score_gemma":0.741321,"domain_scores_codex":[0.9977387,0.0001659932,0.0005370201,0.0005695052,0.0004875248,0.000501256],"domain_scores_gemma":[0.9989654,0.0003701425,0.0002216608,0.0003413072,0.000002209089,0.00009923523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003149858,0.0004455372,0.9792993,0.00002610372,0.00009883108,0.00002307002,0.0001367261,0.0001565172,0.005505803,0.0007787616,0.003478342,0.01001949],"study_design_scores_gemma":[0.001621707,0.0006326055,0.9788866,0.00004304669,0.00009068547,0.000007143216,0.0008296011,0.001326383,0.002667602,0.0007234642,0.01286948,0.000301688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817574,0.00002488184,0.004316759,0.0008911238,0.0002303075,0.001293431,0.00006295577,0.00001392654,0.01140923],"genre_scores_gemma":[0.9924864,0.0003218068,0.003833775,0.001317723,0.00001313338,0.0003446547,0.00003157287,0.00001755392,0.001633372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.651739,"threshold_uncertainty_score":0.9988883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009955264496818004,"score_gpt":0.2339156374526457,"score_spread":0.2239603729558277,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}